Rutvik Deshpande

“When I started with data science and machine learning more than a year ago, I was unsure how to apply it to the architecture industry, because each design has a different end goal or an output. It is very difficult to correlate different design features and generalize the results with available datasets. Many architects and design professionals think AI will replace their role in the future, which is not true at the moment, AI will assist and enhance designers' intuition and help them design better buildings and cities. Maybe AI is not going to generate or predict the final design which is aesthetic and functional, but it will definitely help and improve the design process. I have started to work in the industry with the mindset of solving problems with the available technology.”

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Sustainability First
Rutvik Deshpande

Predicting Energy Efficient Building Façades Using a Render Farm

Machine Learning (ML) can be powerful in energy efficiency and carbon-friendly designs. However, there is a need for better building data sets to accelerate the use of ML.
Site planning
Rutvik Deshpande

GPT-powered SWOT Analysis for Future-proof Neighborhoods

Learn how DBF leverages AI to enhance city planning through text-based insights and spatial correlations.

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